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Principles of Artificial Neural Networks

. Advanced Series in Circuits and Systems World Scientific, (1997)

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Daniel Vietz University of Stuttgart

Execution Patterns for Quantum Applications, , , , , , , and . Proceedings of the 18th International Conference on Software Technologies, page 258-268. Setúbal, SciTePress, (2023)

Daniel Georg University of Stuttgart

Execution Patterns for Quantum Applications, , , , , , , and . Proceedings of the 18th International Conference on Software Technologies, page 258-268. Setúbal, SciTePress, (2023)

Dr. Daniel Hernandez University of Stuttgart

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings, , , , , , and . Findings of the Association for Computational Linguistics, ACL 2025, page 4145--4167. Association for Computational Linguistics, (July 2025)

Daniel Lehmann University of Stuttgart

That’s a Tough Call : Studying the Challenges of Call Graph Construction for WebAssembly, , , and . ISSTA 2023 : Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, page 892-903. New York, Association for Computing Machinery, (2023)
 

Other publications of authors with the same name

On the need for adaptive learning in on-demand Deep Brain Stimulation for Movement Disorders., , and . EMBC, page 2190-2193. IEEE, (2018)A novel large-memory neural network as an aid in medical diagnosis applications., , and . IEEE Trans. Information Technology in Biomedicine, 5 (3): 202-209 (2001)A Large Memory Storage and Retrieval Neural Network for Adaptive Retrieval and Diagnosis., and . International Journal of Software Engineering and Knowledge Engineering, 8 (1): 115-138 (1998)Identification of nonstationary models with application to myoelectric signals for controlling electrical stimulation of paraplegics., and . IEEE Trans. Acoustics, Speech, and Signal Processing, 37 (5): 713-719 (1989)On modeling the neuronal activity in movement disorder patients by using the Ornstein Uhlenbeck Process., , , , and . EMBC, page 2609-2612. IEEE, (2014)Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes., and . IEEE Trans. Systems, Man, and Cybernetics, 5 (2): 252-259 (1975)Blind adaptive filtering of speech from noise of unknown spectrum using a virtual feedback configuration., and . IEEE Trans. Speech and Audio Processing, 8 (2): 146-158 (2000)Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient data., , , and . Biological Cybernetics, 103 (4): 273-283 (2010)Adaptive control of deep brain stimulator for Essential Tremor: Entropy-based tremor prediction using surface-EMG., , , and . EMBC, page 7711-7714. IEEE, (2011)Principles of Artificial Neural Networks - 2nd Edition. Advanced Series in Circuits and Systems World Scientific, (2007)